long-term prediction

Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract) AAAI 2026 Physics-Informed Neural Operators for Cardiac Electrophysiology L4DC 2026 Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction AAAI 2025 LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting ACL 2025 MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Action Anticipation CVPR 2025 MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation ICML 2025 SpikF: Spiking Fourier Network for Efficient Long-term Prediction ICML 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 Causal Contrastive Learning for Counterfactual Regression Over Time NeurIPS 2024 GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes CVPR 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024 Periodicity Decoupling Framework for Long-term Series Forecasting ICLR 2024 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023 Disentangled Generative Models for Robust Prediction of System Dynamics ICML 2023 Future Transformer for Long-Term Action Anticipation CVPR 2022 CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting AAAI 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 Goal-Driven Long-Term Trajectory Prediction WACV 2021 Learning Dynamics Models with Stable Invariant Sets AAAI 2021 Nonseparable Symplectic Neural Networks ICLR 2021 Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction ICLR 2021 Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning CVPR 2021 Variational Integrator Networks for Physically Structured Embeddings AISTATS 2020 A Neural Temporal Model for Human Motion Prediction CVPR 2019 Human Motion Prediction via Spatio-Temporal Inpainting ICCV 2019